Concept Drift Detection and Adaption in Big Imbalance Industrial IoT Data Using an Ensemble Learning Method of Offline Classifiers.
Chun-Cheng LinDer-Jiunn DengChin-Hung KuoLinnan ChenPublished in: IEEE Access (2019)
Keyphrases
- ensemble learning
- concept drift
- ensemble classifier
- test data
- streaming data
- input data
- data sets
- training data
- classification algorithm
- similarity measure
- data distribution
- training samples
- stream data
- class distribution
- machine learning methods
- missing values
- machine learning
- pairwise
- prior knowledge
- base classifiers
- support vector machine
- class imbalance
- change detection
- high dimensional data
- query processing
- knn
- k nearest neighbor
- feature set
- classification accuracy
- non stationary
- generalization ability
- training set
- data streams
- support vector
- test set
- data structure
- image processing